steve
30b79a330f
The kernel carried RunnableAgent.Phases as a DTO but never executed it —
Run always ran a single agent loop with ra.SystemPrompt, so a phased agent
(mort's deepresearch/research) silently ran one loop with the base prompt
instead of its pipeline. This implements the phase loop, ported from mort's
agentexec pipeline but reusing the kernel's own machinery.
- run/phases.go: runPhases / runOnePhase. Phases run sequentially; each is a
fresh agent loop (or a bare LLM call for IsRunFunc phases) with its own
template-expanded system prompt ({{.Query}} + {{.<PhaseName>}}), model
tier, step cap, and tool subset. Outputs thread into later phases; the
final phase's output is the run output. Optional phases swallow errors and
substitute FallbackMessage; a non-optional phase that merely exhausts its
step/tool budget salvages its partial transcript and continues (a hard
error still aborts); per-phase tier-resolve failures fall back with a WARN.
- run/agent.go: Phase gains IsRunFunc + FallbackMessage (the kernel Phase
struct previously omitted them).
- run/executor.go: Run factors the shared agent options (tool-error limits,
step observer, compactor) and branches — single loop (critic's dynamic
step ceiling) vs the phase runner (fixed per-phase caps; the run-level
critic's steer + hard deadline still apply across phases). systemPrompt
now delegates to systemPromptWithBody so each phase keeps the platform
header. The same step observer feeds audit/steps/critic across all phases.
Tests (run/phases_test.go): sequential output threading + template
expansion, Optional-failure → FallbackMessage continues, hard-error abort,
IsRunFunc bare call, per-phase SystemHeader, filterToolbox subset, template
expansion. Full ./... suite green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
executus
⚠️ This project is vibe-coded. executus is written almost entirely by an AI coding agent (Claude), with a human steering at the design and review level rather than typing the code. That's a deliberate choice, stated up front — the same way gadfly is. Read the code before you depend on it, pin a version, and file issues if something looks off. It is offered as-is.
A batteries-included base for building LLM agent harnesses in Go. Import it, do a little wiring, and you have agentic capabilities: a bounded run loop, a tool registry with a suite of common tools, context compaction, config-driven model tiering and failover, structured output, and parallel fan-out — with sensible defaults so a brand-new project is agentic with almost no setup, and pluggable seams so a serious host can swap in its own storage, config, delivery, and tools.
executus sits strictly above majordomo — the lean LLM substrate (agent
loop, canonical llm types, providers, media normalization, model parsing /
failover / tiering). majordomo stays the substrate; executus is the opinionated,
batteries-included layer on top. executus requires no changes to majordomo.
Status
Early. Being extracted, phase by phase, from the agent layer of mort (a Discord
bot) — mort and gadfly are the first two consumers (heavy and light). See
CLAUDE.md for the architecture and the extraction roadmap (P0–P6).
Available today:
run/— executus is runnable.run.Executorties model resolution, the tool registry, majordomo's agent loop, context compaction, run-bounding, and step/audit instrumentation into oneRun(ctx, RunnableAgent, inv) Result, with every host concern behind a nil-saferun.Ports(Audit/Budget/Critic/ Checkpointer/PaletteSource/Delivery/InputFiles). Seeexamples/minimal.model/— config-driven tier resolution + failover over majordomo, with pluggableUsageSink/TraceSinkandGenerateWith[T]structured output.tool/— the tool registry + 3-stage permission model + SSRF guard.compact/— the per-run context compactor.lane/— bounded worker pool with fair-share queueing (run- and provider-concurrency).fanout/— programmatic N×M swarm with bounded global + per-key concurrency.config/,deliver/,identity/— host seams (config / output / identity), each with a shipped default.dispatchguard/,pendingattach/— run-safety primitives.examples/reviewer— a gadfly-shaped PR reviewer on the core only (env-config model fleet →fanoutN×M swarm →model.GenerateWith[T]structured findings → consolidation), the light-tier canary; CI asserts it pulls in no battery.
Design
Two tiers in one module (go.mod = majordomo + stdlib only):
- Core — everything a light host needs to be agentic: run loop, tool registry + common tools, model resolution, compaction, lanes, fan-out, structured output. No persistence, no scheduling.
- Batteries (opt-in sibling packages) — persona/agent nouns, saved skills, audit, run-critic, scheduling, budgets, checkpointing. Each is nil-safe and ships a default, so you add only what you use.
Persistence that needs a real database lives in a separate nested module
(contrib/store, pure-Go SQLite) so the core never drags in a DB driver — a
static-binary host (gadfly) stays static.
License
TBD.